{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["attacker", "place", "attack pattern", "tool", "victim", "number of data", "damage amount", "number of victim", "compromised data"]}, {"event_type": "ransom", "trigger": true, "arguments": ["time", "attacker", "payment method", "victim", "price", "tool", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["supported platform", "vulnerability", "common vulnerabilities and exposures", "capabilities", "vulnerable system", "vulnerable system version", "discoverer", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "time", "attacker", "damage amount", "purpose", "victim", "attack pattern", "place", "trusted entity"]}], "input": "The hackers fake the boss ’s email address so it looks like a legitimate internal company email ."}
{"data breach": [], "ransom": [], "discover vulnerability": [], "phishing": [{"trigger": "fake", "arguments": {"tool": "NAN", "time": "NAN", "attacker": "The hackers", "damage amount": "NAN", "purpose": "NAN", "victim": "NAN", "attack pattern": "NAN", "place": "NAN", "trusted entity": ["email address", "boss"]}}]}